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Diego Andina: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. José L. Sanz-González, Diego Andina
    Importance Sampling Techniques in Neural Detector Training. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:431-441 [Conf]
  2. Fulgencio S. Buendía Buendía, J. Miguel Barrón-Adame, Antonio Vega-Corona, Diego Andina
    Improving GRNNs in CAD Systems. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:160-167 [Conf]
  3. José L. Sanz-González, Francisco López-Ferreras, Diego Andina
    Roundoff noise results on optimal and block-optimal digital filter structures. [Citation Graph (0, 0)][DBLP]
    ISCAS, 1993, pp:611-614 [Conf]
  4. Diego Andina, José L. Sanz-González
    Neyman-Pearson Neural Detectors. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:111-118 [Conf]
  5. Diego Andina, Santiago Torres-Alegre, Antonio Vega-Corona, Antonio Álvarez-Vellisco
    Advances in Neyman-Pearson Neural Detectors Design. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:249-256 [Conf]
  6. Diego Andina, Antonio Vega-Corona
    Detection of Microcalcifications in Mammograms by the Combination of a Neural Detector and Multiscale Feature Enhancement. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:385-392 [Conf]
  7. Juan Seijas, Carmen Morató, Diego Andina, Antonio Vega-Corona
    Improving the Efficiency of Multiple Sequence Alignment by Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:361-368 [Conf]
  8. Raoul Velazco, Ch. Godin, Ph. Cheynet, Santiago Torres-Alegre, Diego Andina, M. B. Gordon
    Study of Two ANN Digital Implementations of a Radar Detector Candidate to an On-Board Satellite Experiment. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:615-624 [Conf]
  9. Antonio Vega-Corona, Antonio Álvarez-Vellisco, Diego Andina
    Feature Vectors Generation for Detection of Microcalcifications in Digitized Mammography Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:583-590 [Conf]
  10. José L. Sanz-González, Diego Andina
    Performance Analysis of Neural Network Detectors by Importance Sampling Techniques. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1999, v:9, n:3, pp:257-269 [Journal]
  11. José L. Sanz-González, Diego Andina, Juan Seijas
    Importance Sampling and Mean Square Error in Neural Detector Training. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2002, v:16, n:3, pp:259-276 [Journal]
  12. Diego Andina, Aleksandar Jevtic, Alexis Marcano, J. Miguel Barrón-Adame
    Error Weighting in Artificial Neural Networks Learning Interpreted as a Metaplasticity Model. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:244-252 [Conf]
  13. J. Miguel Barrón-Adame, J. A. Herrera Delgado, M. G. Cortina-Januchs, Diego Andina, Antonio Vega-Corona
    Air Pollutant Level Estimation Applying a Self-organizing Neural Network. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2007, pp:599-607 [Conf]
  14. Alexandre Moreira Nascimento, Diego Andina, Francisco Javier Ropero Peláez
    Towards a Neural-Networks Based Therapy for Limbs Spasticity. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:124-131 [Conf]

  15. Edges Detection of Clusters of Microcalcifications with SOM and Coordinate Logic Filters. [Citation Graph (, )][DBLP]


  16. Pollution Alarm System in Mexico. [Citation Graph (, )][DBLP]


  17. New Artificial Metaplasticity MLP Results on Standard Data Base. [Citation Graph (, )][DBLP]


  18. Breast Cancer Classification Applying Artificial Metaplasticity. [Citation Graph (, )][DBLP]


  19. Detection of Microcalcifications Using Coordinate Logic Filters and Artificial Neural Networks. [Citation Graph (, )][DBLP]


  20. Combination of Nonlinear Filters and ANN for Detection of Microcalcifications in Digitized Mammography. [Citation Graph (, )][DBLP]


  21. Edge Detection Using Ant Colony Search Algorithm and Multiscale Contrast Enhancement. [Citation Graph (, )][DBLP]


  22. Testing Artificial Metaplasticity in MLP Applications. [Citation Graph (, )][DBLP]


  23. Sub-Optimum Signal Linear Detector Using Wavelets and Support Vector Machines [Citation Graph (, )][DBLP]


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